Reconstruction and enhancement techniques for overcoming occlusion in facial recognition

Abstract Facial occlusions in surveillance footage can obscure important features, preventing facial recognition systems from identifying people. This work focuses on reconstructing these missing facial parts using Generative Adversarial Networks (GANs) to improve facial recognition accuracy while m...

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Bibliographic Details
Main Authors: Filip Pleško, Tomáš Goldmann, Kamil Malinka
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Online Access:https://doi.org/10.1186/s13640-025-00670-7
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